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MySQL Master Replication Crash Safety Part #5a: making things faster without reducing durability - using better hardware

This is a follow-up post in the MySQL Master Replication Crash Safety series.  In the previous posts, we explored the consequences of reducing durability on masters (different data inconsistencies after an OS crash depending on replication type) and the performance boost associated with this configuration (benchmark results done on Google Cloud Platform / GCP).  The consequences are summarised in

MySQL Master Replication Crash Safety Part #5: faster without reducing durability (under the hood)

This post is a sister post to MySQL Master Replication Crash Safety Part #5: making things faster without reducing durability.  There is no introduction or conclusion to this post, only landing sections: reading this post without its context is not not recommended. You should start with the main post and come back here for more details.

And this Part #5 of the series has many sub-parts.  So far,

MySQL Master Replication Crash Safety Part #4: benchmarks of high and low durability

This is a follow-up post in the MySQL Master Replication Crash Safety series.  In the three previous posts, we explored the consequence of reducing durability on masters (including setting sync_binlog to a value different from 1).  But so far, I only quickly presented why a DBA would run MySQL with such configuration.  In this post, I present actual benchmark results.  I also present a

Adaptive Hash Index on AWS Aurora

Recently I had a case where queries against Aurora Reader were 2-3 times slower than on the Writer node. In this blog post, we are going to discuss why.

I am not going to go into the details of how Aurora works, as there are other blog posts discussing that. Here I am only going to focus on one part.

The Problem

My customer reported there is a huge performance difference between the Reader and the Writer node just by running selects. I was a bit surprised, as the select queries should run locally on the reader node, the dataset could fit easily in memory, there were no reads on disk level, and everything looked fine.

I was trying to rule out every option when one of my colleagues mentioned I should have a look at the InnoDB_Adaptive_Hash_Indexes. He was right – it …

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2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular? We found all the answers you need at the Percona Live event last month, and broke down the insights into the following free trends reports:

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ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud

PALO ALTO, Calif., June 6, 2019 – ScaleGrid, the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud. The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.

Over the years, migrating data to the cloud has become a top priority for organizations looking to modernize their infrastructure for improved security, performance, and …

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Percona Monitoring and Management (PMM) 2 Beta Is Now Available

We are pleased to announce the release of PMM 2 Beta!  PMM (Percona Monitoring and Management) is a free and open-source platform for managing and monitoring MySQL, MongoDB, and PostgreSQL performance.

  • Query Analytics:
    • MySQL and MongoDB – Slow log, PERFORMANCE_SCHEMA, and Profiler data sources
    • Support for large environments – default view all queries from all instances
    • Filtering – display only the results matching filters such as the schema name or the server instance
    • Sorting and more columns – now sort by any column.
    • Modify Columns – Add one or more columns for any field exposed by the data source
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Introducing Tungsten Replicator (AMI): The High Performance Replication Engine For MySQL, MariaDB & Percona Server

Discover Tungsten Replicator (AMI) – the replication engine for MySQL, MariaDB & Percona Server, including Amazon RDS MySQL and Amazon Aurora We’re excited to announce the availability on the Amazon Marketplace of the new Tungsten Replicator (AMI). Tungsten Replicator (AMI) is a replication engine that provides high-performance and improved replication functionality over the native MySQL replication solution and provides an ability to apply real-time MySQL data feed into a range of analytics and big data databases. Tungsten Replicator (AMI) builds on the well-established, commercial stand-alone product Tungsten Replicator and offers the exact same functionality, but with the convenience that comes with an ad-hoc online service: cost-effective and rapid, automated deployment. Target Databases Available as of Today

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Percona Monitoring and Management (PMM) 2.0.0-alpha2 Is Now Available

We are pleased to announce the launch of PMM 2.0.0-alpha2, Percona’s second Alpha release of our long-awaited PMM 2 project! In this release, you’ll find support for MongoDB Metrics and Query Analytics – watch for sharp edges as we expect to find a lot of bugs!  We’ve also expanded our existing support of MySQL from our first Alpha to now include MySQL Slow Log as a data source for Query Analytics, which enhances the Query Detail section to include richer query metadata.

  • MongoDB Metrics – You can now launch PMM 2 against MongoDB and gather metrics and query data!
  • MongoDB Query Analytics – Data source from MongoDB Profiler is here!
  • MySQL Query Analytics
    • Queries source – MySQL Slow Log is here!
    • Sorting and more …
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Percona Monitoring and Management (PMM) 2.0.0-alpha1 Is Now Available

We are pleased to announce the launch of PMM 2.0.0-alpha1, Percona’s first Alpha release of our long-awaited PMM 2 project! We focused exclusively on MySQL support in our first Alpha (because we wanted to show progress sooner rather than later), and you’ll find updated MySQL dashboards along with enhancements to Query Analytics. We’ve also added better visibility regarding which services are registered with PMM Server, the client-side addition of a new agent called pmm-agent, and finally PMM Server is now exposing an API!

  • Query Analytics
    • Support for large environments – default view all queries from all instances
    • Filtering – display only the results matching filters – MySQL schema name, MySQL server instance
    • Sorting and more columns – now sort by any …
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Showing entries 1 to 10 of 186
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